Avineet Kumar

• Spearheaded semantic search and question answering projects, enhancing data retrieval efficiency.
• Implemented object replacement in images using cutting-edge technologies for specific requirements.
• Led the development of a multilingual video transcript system for accurate transcription across languages.
• Designed an offline voice ordering kiosk for seamless customer interactions.
• Created models for chat and text summary, streamlining communication processes.
• Utilized fine-tuning techniques to optimize a project-specific test case generation model.
• Created Python-based AI tool for intelligent code suggestions, akin to GitHub Copilot.

• Conducted layout prediction and analysis of scanned documents, leveraging advanced techniques to accurately predict and analyze the structure and arrangement of scanned documents, improving document processing efficiency.
• Utilized Natural Language Processing (NLP) techniques to perform document classification, enabling automated categorization and organization of large volumes of documents based on their content and characteristics.
• Developed and implemented algorithms to extract key-value pairs from documents, effectively capturing important information and facilitating data extraction and analysis processes.

• Built the logic for streamlined platform that provides awareness among users about COVID
• Deployed a recommendation engine to production to recommend relevant Nutritionists to customers
• Steering rapid model creation in Python using Pandas, NumPy, SciKit-Learn & plot.ly for data visualization
• Generated segmentation models using K-means Clustering in order to discover new segments of users
• Designing a real-time contextual behavioral personalization system via Sankey diagram & ML to predict customer behavior.

- Conducted customer behavior analysis, reducing wastage by 5%.

- Optimized Distribution center positioning for improved service.

- Collaborated with stakeholders, explained KPIs, and facilitated informed decisions.

- Published interactive dashboards for tracking progress and data-driven decisions.

- Utilized data visualization for clear communication and actionable insights.

• Built web applications in Python, Django, and MySQL and generated reports based on client inputs
• Worked on SQL Server to create, modify, delete table, Stored-
• Procedure, and wrote stored procedure in SQL server
• Involved in data analysis in Excel; planned task decision and prioritize work in a team using JIRA.